L. Torrey, J. Shavlik, T. Walker & R. Maclin (2006).
Relational Skill Transfer via Advice Taking. ICML'06 Workshop on Structural Knowledge Transfer for Machine Learning, Pittsburg, PA.
This publication is available in PDF.
We describe a reinforcement learning system that transfers relational skills from a previously learned source task to a related target task. The system uses inductive logic programming to analyze experience in the source task, and transfers rules about when to take actions. The target-task learner accepts these rules through an advice-taking algorithm. Our system also accepts human-provided advice, which can guide the application of transferred skills and provide instruction about new skills in the target task.
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